A classic problem in spoken language comprehension is how listeners perceive speech as being composed of discrete words, given the variable time-course information continuous signals. We propose a syllable inference account word recognition and segmentation, according to which alternative hierarchical models syllables, phonemes are dynamically posited, expected maximally predict incoming sensor...

This paper is concerned with proposing the fuzzy cognitive map (FCM)-driven inference ampli®cation mechanism in the ®eld of web-mining. As the recent advent of the Internet, most of the modern ®rms are now geared towards using the web technology in their daily as well as strategic activities. The web-mining technology provides them with unprecedented ability to analyze web-log data, which are s...

In this paper, we consider the production possibility set with n production units such that the following four principles that governs: inclusion observations, conceivability, immensity and convexity. Our goal is to estimate the output of a same and new production unit with existing production possibility and amount of input is specified. So, initially we find the interval changes of each input...

In this research, the physico-chemical water quality parameters and the effect of climate changes onwater quality is evaluated. During the observation period (5 months) physico-chemical parameterssuch as water temperature, turbidity, saturated oxygen, dissolved oxygen, pH, chlorophyll-a, salinity,conductivity, and concentration of total nitrogen (nutrient level) as main pollutant factor have be...

We present a new inference algorithm for Point-Interval Logic. The mechanism removes the incompleteness of previously reported inference mechanism for PointInterval Logic. We also show how this inference mechanism can be used to prune the search space for an instance in Generalized Point-Interval Logic. Introduction Point-Interval Logic (PIL) is a tractable subclass of Allen’s interval algebra ...

This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish in open domain. AliQAn is based fundamentally on the use of syntactic patterns to identify the possible answers. An inference mechanism is applied to the questions set of economic type. In this way, our system improves the accuracy of this question type from 33% to 57%.

It is widely accepted that to extend the eeectiveness of information disclosure beyond the limitations of current empirically-based retrieval systems, some notion of document semantics has to be incorporated into the retrieval mechanism. A recent approach to bringing semantics into play is to found the retrieval mechanism on the notion of logical inference. In this paper, we build on this appro...